Results 41 to 50 of about 2,167,087 (189)
Underpricing and Overachievement: Celebrating Jay Ritter's IPO Research
ABSTRACT This tribute celebrates Jay Ritter's scholarship on the occasion of his election as Fellow of the American Finance Association. Best known for documenting and IPO underpricing, hot issue markets, and the long‐run underperformance of new issues, Jay has shaped how academics, practitioners and regulators understand the going‐public process, from
Silvio Vismara
wiley +1 more source
Customer churn prediction in telecom sector using machine learning techniques
In the telecom industry, large-scale of data is generated on daily basis by an enormous amount of customer base. Here, getting a new customer base is costlier than holding the current customers where churn is the process of customers switching from one ...
Sharmila K. Wagh +5 more
doaj +1 more source
Affiliated Mutual Funds: Beyond the Reach of the Invisible Hand?
ABSTRACT In many countries, banks are the primary distribution channel for mutual funds and predominantly sell products issued by their own asset management divisions (“affiliated funds”). We examine how this lack of competition affects managerial activeness, fund performance, and investor outcomes.
Dominik Scheld +3 more
wiley +1 more source
The evaluation of the relationship with the customer and related benefits has become akey point for a company’s competitive advantage. Consequently, interest in keyconcepts, such as customer lifetime value and churn has increased over the years.However ...
de Oliveira Lima, Elen
core +2 more sources
A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction
Churn prediction has become one of the core concepts in customer relationship management within the insurances, telecom, and internet service provider industries, which is essential in customer retention.
Nabil M. AbdelAziz +4 more
doaj +1 more source
Wealth Meets Value: The Role of Advice for High Net Worth Individuals
ABSTRACT While financial advice in retail banking frequently fails to generate net‐of‐cost value due to agency conflicts, evidence from the high‐net‐worth segment remains scarce. This paper examines advice effectiveness within a private banking environment characterized by dedicated advisor relationships with two asset‐based compensation models, one of
Maria Maas +3 more
wiley +1 more source
With the rapid advancement of digital systems and related information technologies, there is agrowing tendency in the global economy to develop digital CRM systems. This research uses a real-world study to predict customer churn and recommends the use of
Dr.K.Geetha, Prachi Tomar, Anisha Jain
core +1 more source
Banking customer churn prediction using random forest based on Smote and Adasyn approach
Customer Churn is now becoming a significant problem in the banking sector. It is necessary to seek solutions to predict the rate of customer churn in banks; however, the dataset for customer churn prediction in banks is imbalanced.
Cong Thanh Tran
doaj +1 more source
Churn prediction for SaaS company with machine learning [PDF]
Purpose – In an era marked by fierce business competition, customer retention is crucial for sustaining profitability. Churn prediction, the ability to forecast customer defections, is essential to enhance retention and can profoundly impact a company’s ...
Hugo Eduardo Sanches +2 more
doaj +1 more source

